AI training data is the foundation of machine learning. It consists of labeled or unlabeled examples—text, images, audio, code, or structured data—that models learn from during the training phase. The patterns extracted from this data determine how the model will behave when deployed.
Training data drives:
Sources of training data include:
Risks related to training data include:
Best practices include:
How PointGuard AI Addresses This:
PointGuard AI monitors for signals that may stem from flawed or poisoned training data—such as abnormal model behavior, drift, or backdoor activation. It offers forensic tools to trace model decisions to data artifacts and alerts teams when retraining may be necessary. PointGuard helps ensure training data remains a strength, not a liability.
Resources:
Our expert team can assess your needs, show you a live demo, and recommend a solution that will save you time and money.